{"uid":"cap_5w-4Kn84O5U4y0USDVVeJ","slug":"texture-baking-quality-audit-numeric-distribution-9d025d02","name":"Texture Baking Quality Audit & Numeric Distribution","description":"Texture baking — Record quality audit + Numeric distribution: Record quality audit + Numeric distribution for supplied texture baking records (bake_seconds, texture_pixels). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-creative-10-004?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","bake_seconds","texture_pixels"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"asset_group":{"type":"string","default":"","maxLength":80},"bake_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"texture_pixels":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","asset_group":"group-a","bake_seconds":10,"texture_pixels":1},{"date":"2026-10-02","row_id":"row-2","asset_group":"group-b","bake_seconds":20,"texture_pixels":2},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","bake_seconds":15,"texture_pixels":3},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","bake_seconds":30,"texture_pixels":4}],"maxItems":200,"minItems":1},"field":{"enum":["bake_seconds","texture_pixels"],"type":"string","default":"bake_seconds"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_aqc0zpMiI6YkCQHYtaNNi","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Runs two analytical reports (record quality audit and numeric distribution) on supplied texture baking data (bake_seconds, texture_pixels) for up to 200 rows, entirely offline.","exampleAgentPrompt":"Can you run a record quality audit and numeric distribution report on my texture baking data — 4 rows with bake_seconds and texture_pixels values across asset groups A and B — and analyze the bake_seconds field specifically?","exampleUseCases":[{"title":"3D asset pipeline data audit","prompt":"I have 50 rows of texture baking records from our rendering pipeline with bake_seconds and texture_pixels columns — can you run a quality audit on them and show me the numeric distribution for bake_seconds so I can spot any bad data?"},{"title":"Validate baking data before processing","prompt":"Before I import this batch of 120 texture baking rows into our system, can you check data quality and give me a distribution report on the texture_pixels field so I know if there are nulls or anomalies?"},{"title":"Compare baking metrics across asset groups","prompt":"I've got texture baking records for two asset groups with dates in October — can you audit the record quality and generate the numeric distribution for bake_seconds across all 30 rows?"}],"resultDescription":"Returns two analytical reports: (1) a record quality audit covering null coverage, completeness flags, and data validity per row and field; (2) a numeric distribution summary (e.g. histogram or statistical breakdown) for the selected field (bake_seconds or texture_pixels). All computation is performed locally on the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected due to maxItems limit","Missing required fields (row_id, date, asset_group, bake_seconds, texture_pixels) — validation error","Date field not matching YYYY-MM-DD format — pattern validation failure","Invalid field enum value (must be bake_seconds or texture_pixels) — rejected","Empty rows array — minItems:1 not satisfied","Numeric values outside allowed range (-1e12 to 1e12) — schema rejection"],"whenToPreferThis":"Choose this endpoint when you need fast, offline data quality auditing and numeric distribution analysis specifically for texture baking datasets (bake_seconds, texture_pixels). It is ideal when you want two simultaneous analytical reports from a single API call at minimal cost ($0.01 USDC), without needing live data lookups, predictive modeling, or external integrations. Prefer it over general-purpose analytics services when your data fits the texture baking schema and you want lightweight, deterministic quality checks.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T00:44:12.641Z","isFirstParty":false,"canonicalSlug":"texture-baking-quality-audit-numeric-distribution-9d025d02"}